Search results for "Soil texture"

showing 4 items of 54 documents

Experiments for testing soil texture effects on flow resistance in mobile bed rills

2018

Abstract In this paper a recently theoretically deduced rill flow resistance equation, based on a power-velocity profile, was tested experimentally on plots of varying slopes and soil texture in which mobile bed rills are incised. Measurements of flow velocity, water depth, cross section area, wetted perimeter and bed slope conducted in rill reaches incised on experimental plots, having different slope values (9, 14, 22, 24 and 26%) and soil texture (clay fraction ranging from 42 to 73%), and literature data were used to calibrate the flow resistance equation. In particular, the relationship between the velocity profile parameter Γ, the channel slope, the flow Froude number and texture frac…

geographygeography.geographical_feature_categorySoil textureRill hydraulic0208 environmental biotechnologyFlow (psychology)Soil science02 engineering and technologyPlot measurement020801 environmental engineeringRillWetted perimetersymbols.namesakeVelocity profileFlow resistanceFlow velocitySoil textureSoil waterSoil erosionFroude numbersymbolsSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliTexture (crystalline)GeologyEarth-Surface ProcessesCATENA
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Application of EMI and FDR Sensors to Assess the Fraction of Transpirable Soil Water over an Olive Grove

2018

Accurate soil water status measurements across spatial and temporal scales are still a challenging task, specifically at intermediate spatial (0.1–10 ha) and temporal (minutes to days) scales. Consequently, a gap in knowledge limits our understanding of the reliability of the spatial measurements and its practical applicability in agricultural water management. This paper compares the cumulative EM38 (Geonics Ltd., Mississauga, ON, Canada) response collected by placing the sensor above ground with the corresponding soil water content obtained by integrating the values measured with an FDR (frequency domain reflectometry) sensor. In two field areas, characterized by different soil clay conte…

lcsh:Hydraulic engineeringSoil texture0208 environmental biotechnologyGeography Planning and Developmentfraction transpiration soil waterSoil science02 engineering and technologyAquatic ScienceBiochemistryrelative transpirationEM38; FDR sensor; Fraction transpiration soil water; Olive grove; Relative transpiration; Sap flow; Biochemistry; Geography Planning and Development; Aquatic Science; Water Science and Technologylcsh:Water supply for domestic and industrial purposessap flowEMIlcsh:TC1-978CalibrationReflectometrySubsurface flowTemporal scalesolive grove; sap flow; relative transpiration; FDR sensor; EM38; fraction transpiration soil waterTranspirationWater Science and TechnologyPlanning and Developmentlcsh:TD201-500GeographyEM38FDR sensor04 agricultural and veterinary sciencesolive grove020801 environmental engineeringSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesWater
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Artificial Neural Networks for Predicting the Water Retention Curve of Sicilian Agricultural Soils

2018

Modeling soil-water regime and solute transport in the vadose zone is strategic for estimating agricultural productivity and optimizing irrigation water management. Direct measurements of soil hydraulic properties, i.e., the water retention curve and the hydraulic conductivity function, are often expensive and time-consuming, and represent a major obstacle to the application of simulation models. As a result, there is a great interest in developing pedotransfer functions (PTFs) that predict the soil hydraulic properties from more easily measured and/or routinely surveyed soil data, such as particle size distribution, bulk density (&rho

lcsh:Hydraulic engineeringneural networkSoil textureWater retention curvesoil water retention curve0208 environmental biotechnologyGeography Planning and DevelopmentSoil science02 engineering and technologyAquatic ScienceSiltBiochemistryAkaike criterion; Neural network; Soil water retention curve; Van Genuchten function; Biochemistry; Geography Planning and Development; Aquatic Science; Water Science and Technologyvan Genuchten functionlcsh:Water supply for domestic and industrial purposesHydraulic conductivityPedotransfer functionlcsh:TC1-978Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliWater Science and TechnologyPlanning and Developmentlcsh:TD201-500GeographySoil organic matter04 agricultural and veterinary sciences020801 environmental engineeringAkaike criterionSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceAkaike information criterionWater
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ESTIMATING SOIL PARTICLE-SIZE DISTRIBUTION FOR SICILIAN SOILS

2009

The soil particle-size distribution (PSD) is commonly used for soil classification and for estimating soil behavior. An accurate mathematical representation of the PSD is required to estimate soil hydraulic properties and to compare texture measurements from different classification systems. The objective of this study was to evaluate the ability of the Haverkamp and Parlange (HP) and Fredlund et al. (F) PSD models to fit 243 measured PSDs from a wide range of 38 005_Bagarello(547)_33 18-11-2009 11:55 Pagina 38 soil textures in Sicily and to test the effect of the number of measured particle diameters on the fitting of the theoretical PSD. For each soil textural class, the best fitting perf…

sicilian soilsParticle-size distributionMean squared errorSoil textureMechanical Engineeringlcsh:SBioengineeringSoil classificationSoil sciencelcsh:S1-972Industrial and Manufacturing EngineeringSoil gradationlcsh:AgricultureLoamParticle-size distributionSoil waterRange (statistics)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliParticle-size distribution Particle-size distribution models Soil physical properties.lcsh:Agriculture (General)MathematicsJournal of Agricultural Engineering
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